The use of multispectral satellite imagery for water monitoring is a fast and cost-effective method that can benefit from the growing availability of medium–high-resolution and free …
Flooding presents a formidable challenge in the United States, endangering lives and causing substantial economic damage, averaging around $5 billion annually. Addressing …
Floods are one of the most perilous natural calamities that cause property destruction and endanger human life. The spatial patterns of flood susceptibility were assessed in this study …
Assessing water quality in arid regions is vital due to scarce resources, impacting health and sustainable management. This study examines groundwater quality in Assuit Governorate …
A Negese, D Worku, A Shitaye, H Getnet - Applied Water Science, 2022 - Springer
Flood is one of the natural hazards that causes widespread destruction such as huge infrastructural damages, considerable economic losses, and social disturbances across the …
KM Al-Kindi, Z Alabri - Earth Systems and Environment, 2024 - Springer
This study harnessed the formidable predictive capabilities of three state-of-the-art machine learning models—extreme gradient boosting (XGB), random forest (RF), and CatBoost (CB) …
Particularly in the context of smart cities, remote sensing data (RSD) has emerged as one of the hottest study topics in information and communication technology (ICT) today. The …
Flood, a distinctive natural calamity, has occurred more frequently in the last few decades all over the world, which is often an unexpected and inevitable natural hazard, but the losses …
Due to climate change, the frequency and intensity of floods have dramatically increased worldwide. The innate social inequality has been exposed and even exacerbated by …
Abstract Machine learning (ML) models, particularly decision tree (DT)-based algorithms, are being increasingly utilized for flood susceptibility map**. To evaluate the advantages …